Network Thinking and Agent-based modeling

Semestre 1 · 25556 · Corso di laurea magistrale in Imprenditorialità e Innovazione · 2CFU · EN

This course will provide knowledge and understanding of complex adaptive systems and their properties, and how patterns are emerging in systems. In the context of innovation and entrepreneurship, emerging patterns are related to innovation.
Students will be:
• given a framework with which they can assess innovation phenomena as well as how to apply a complex adaptive system perspective;
• introduced to agent-based modeling;
• acquire knowledge of the NetLogo platform, which is a widely used, arguably, easy software with which they can further simulate and explore complex adaptive systems.

Docenti: Roberto Gabriele

Ore didattica frontale: 15
Ore di laboratorio: -
Obbligo di frequenza: 75% mandatory presence

Argomenti dell'insegnamento
The course proposes an approach to understand different phenomena using a "complexity" lens and understand how current behaviors and patterns emerge. The course tackles the complexity of adaptive systems in the context of business (e.g., innovation and entrepreneurship). The lecturer will introduce the students to ABM thinking and to NetLogo as a simulation environment to describe and analyze open innovation phenomena.

Modalità di insegnamento
In-Person "Mixed" sessions with theoretical tractation and laboratory applications of the topics covered

Obiettivi formativi e risultati di apprendimento (ulteriori info.)
This course will provide knowledge and understanding of complex adaptive systems and their properties, and how patterns are emerging in systems. In the context of innovation and entrepreneurship, emerging patterns are related to innovation. Students will be introduced to agent-based modeling via the NetLogo program, which is a widely used, arguably easy software with which they can further simulate and explore complex adaptive systems.

Modalità d'esame
Written exam with three “open-answer questions about the topics covered during the course.

Criteri di valutazione
The written exam will consist of three open-answer questions and aims at checking the knowledge of the topic and of the models covered in the course. Clarity of the exposition is also evaluated.

Bibliografia obbligatoria

· Wilensky, U., Rand W. (2015). An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with Netlogo. The MIT Press. (selected chapters);

Bibliografia facoltativa

Optional readings:

· Holland, J.H., 2014. Complexity: A very short introduction. Oxford;

· Mitchell, M., 2009. Complexity: A guided tour. Oxford University Press.

Altre informazioni
No exam for non-attending students.

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Obiettivi di sviluppo sostenibile
Questa attività didattica contribuisce al raggiungimento dei seguenti Obiettivi di Sviluppo sostenibile.

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